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Location: Frankfurt am Main, Germany We are looking for a Chief Accountant / Senior Accountant to lead the accounting operations for a well-established international company based in Frankfurt. You will be a key member of the Finance team for the Western Europe Cluster, reporting to the Finance and Administration Manager located in Belgium. This role is pivotal in ensuring financial accuracy, regulatory compliance, and continuous improvement of financial processes within the German legal entities of the organisation. Key Responsibilities: Oversee monthly, quarterly, half-year, and annual financial reporting, ensuring alignment with IFRS and internal standards. Lead the monthly closing process and prepare consolidated financial statements. Ensure compliance with local tax and regulatory requirements including VAT, corporate tax, and payroll. Manage accounts payable, accounts receivable, cash flow, bank reconciliations, and intercompany transactions. Coordinate with internal and external auditors to ensure compliance and timely reporting. Collaborate with the Finance and Administration Manager on budgets and forecasts. Partner with the HR provider for accurate payroll management. Work with cross-functional teams (sales, marketing, operations) to support financial alignment. Drive process improvements and enhance internal financial controls. Requirements Education & Qualifications: Bachelor’s degree in Accounting, Finance, or related field. Professional accounting qualification is an advantage. Experience: 3–5 years of experience in accounting, including at least 2 years in a supervisory role. Solid knowledge of IFRS; familiarity with French GAAP is a plus. Skills: Proficiency in ERP systems (e.g., SAP, Oracle) and strong command of Microsoft Excel. Excellent analytical, problem-solving, and organizational skills. Fluent in both German and English . Personal Attributes: Strong interpersonal and communication skills. Proactive, detail-oriented, and solution-focused. High integrity and discretion with confidential information. Benefits Join a multicultural, international team with a strong collaborative spirit. Play a strategic role in the financial management of a recognized global brand. Opportunities for professional growth within a dynamic and innovative environment. Work within a value-driven culture built around kindness, responsibility, freedom, and pioneering spirit. Enjoy a workplace that values professionalism, open-mindedness, and entrepreneurial thinking.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dubai, United Arab Emirates AHS, a renowned leader in luxury real estate development, is seeking an experienced and driven Project Assistant Vice President (Engineering) to join our dynamic team. In this high-level role, you will play a crucial part in overseeing engineering operations for various luxury development projects, ensuring that all engineering processes align with our standards of excellence. You will collaborate with senior leadership and manage cross-functional teams to deliver projects that meet our strategic objectives. Responsibilities Provide strategic leadership and oversight of engineering functions across luxury real estate projects. Collaborate with project managers, architects, and contractors to ensure engineering designs meet project specifications and timelines. Develop and implement engineering policies, procedures, and best practices to enhance operational efficiency. Manage project budgets and resources, ensuring effective allocation and utilization for engineering activities. Conduct regular project reviews and engineering assessments to identify areas for improvement and risk mitigation. Foster strong relationships with stakeholders, including clients and regulatory agencies, to ensure compliance and alignment of project goals. Lead and mentor engineering teams, providing guidance and support for professional development. Stay informed of industry trends, technological advancements, and regulatory changes affecting engineering in real estate development. Requirements Bachelor's degree in Engineering, Architecture, or a related field; a Master’s degree is preferred. Proven experience in a senior management engineering role within super high rise luxury real estate development (10-15 years) Strong understanding of engineering principles, practices, and regulations. Excellent leadership and team management skills. Demonstrated experience managing complex projects and cross-functional teams. Exceptional communication and interpersonal abilities. Ability to think strategically and solve problems effectively. Proficiency in project management and engineering software tools. Strong analytical skills with a focus on data-driven decision-making. Commitment to quality and continuous improvement. Experience with sustainability practices in engineering is a plus. Benefits Why Join AHS? Innovative Environment : Be part of a forward-thinking company that embraces innovation and creativity in the luxury real estate market. Career Advancement : Enjoy opportunities for professional growth and development, with clear path for career progression. Exclusive Properties : Work with a portfolio of some of the most prestigious and exclusive properties in the market. Collaborative Culture : Join a team-oriented environment where collaboration and mutual support are highly valued. Client-Centric Approach : Be part of a company that prioritizes exceptional customer service and client satisfaction. Competitive Compensation : Receive a competitive salary and benefits package that rewards your hard work and dedication. Global Network : Leverage a robust network of industry contacts and high-net-worth clients. Cutting-Edge Technology : Utilize the latest sales management software and CRM systems to enhance your efficiency and effectiveness. Recognition and Rewards : Benefit from a culture that recognizes and rewards outstanding performance and achievements. Work-Life Balance : Enjoy a supportive work environment that values work-life balance and employee well-being. Please Note: Due to the high volume of applications we receive, only shortlisted candidates will be contacted. We appreciate your understanding.

Location: Lagos, Nigeria As the Product Manager for Business Banking, you will spearhead the development and adoption of digital solutions to onboard and engage corporate clients on Renmoney’s web and mobile platforms. You’ll own the product vision for business banking, delivering features like business accounts, SME loans, bulk payments, and invoicing to meet the unique needs of Nigerian businesses. Collaborating with cross-functional teams, you’ll drive revenue growth, ensure regulatory compliance, and create intuitive user journeys that redefine SME banking. Job Description Product Strategy - define and own the product roadmap for business banking, aligning with Renmoney’s digital-first strategy and SME growth objectives. Propose innovative features like cash flow tools or API integrations to stay ahead of market trends. Corporate Onboarding - Design seamless digital onboarding journeys for SMEs and corporate clients on web and mobile, ensuring compliance with KYC/AML, CBN, NDIC, and NIBSS regulations. Optimize conversion rates across funnels. Feature Development - Lead end-to-end development of high-impact features (e.g., business account dashboards, user role management, bulk payments, invoicing, transaction insights, SME loans). Test and scale solutions with engineering and design teams. Stakeholder Collaboration - Partner with Engineering, Design, Compliance, Risk, Sales, and Distribution to align features with client needs. Work with Ops and Customer Service to ensure backend scalability and support. Analytics & Iteration - Leverage customer feedback, funnel data, and tools like Amplitude to drive decisions. Run A/B tests to improve adoption, engagement, and retention. Track KPIs like transaction volume and feature usage. Regulatory Alignment - Ensure all products comply with Nigerian financial regulations. Participate in risk reviews and policy formulation to maintain trust and security. Adoption & Growth - Collaborate with Sales to drive client acquisition and engagement. Optimize user journeys to boost business account activations and transaction volumes. Requirements 4+ years in product management, with 2+ years in SME/business banking, fintech, or digital financial services Proven success launching digital onboarding or transaction products Strong knowledge of SME financial needs (e.g., lending, payments, KYC, invoicing) Ability to translate business problems into technical requirements Excellent communication skills to engage diverse stakeholders Benefits Impact: Shape the future of business banking for Nigerian SMEs and corporates. Growth: Access professional development and career advancement in a fast-growing fintech. Culture: Work in a collaborative, innovative team with hybrid flexibility. Benefits: Enjoy competitive compensation, health insurance, and wellness programs.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more. Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We’re looking for a Technical Product Marketing Manager who combines deep technical understanding with strategic marketing expertise to develop go-to-market plans for our global security and compliance portfolio. This is a hands-on, multidisciplinary, and dynamic position that requires working closely with product managers, engineering teams, and security experts to truly understand the technical capabilities of our offerings,  and translate them into compelling positioning and content. You’ll also collaborate with the content team, sales, and other marketing functions to drive awareness, adoption, and growth. The ideal candidate is a technologist at heart, someone who thrives on understanding how products work under the hood and is excited to communicate their value clearly to both technical and non-technical audiences. You’re motivated by ownership, driven by curiosity, and comfortable operating at the intersection of product and marketing. You love to get hands-on, solve problems, experiment, and build scalable marketing systems. This role sits within the product marketing team and reports to the Product Marketing Lead Location: This role will be based remotely in the EMEA region. What your day will look like Lead the go-to-market strategy and execution for Canonical’s range of security and compliance products, including messaging and positioning Track the competitive landscape and emerging trends to define product differentiation and value drivers Collaborate with engineering and product teams to understand product roadmaps, and customer use cases Translate technical product capabilities into clear, differentiated messaging for key personas, including Executives, DevSecOps, and platform teams Own campaign and content planning for the security portfolio Use data and insights to iterate on demand generation strategies and optimize conversion throughout the funnel Work with other teams to plan events, webinars and support messaging for paid and social media promotion What we are looking for in you A passion for technology and open source—you get excited about innovation, software, and community-driven development. Strong storytelling skills—you know how to craft messaging that resonates with both technical and business audiences. Growth mindset—someone who thrives on experimentation, learning, and continuous improvement. Excellent communication skills, both written and verbal. Nice-to-have skills Technical understanding of the Cybersecurity world Data-driven mindset, using insights to refine strategies and improve performance. Experience in product marketing for enterprise software, cloud, DevOps, or open-source solutions. Experience with demand generation, understanding how to translate GTM strategies into pipeline growth. Comfort working cross-functionally with product, sales, partners, and marketing teams. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Cairo, Egypt Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for a Client Solutions Manager to support our team in Cairo! What You’ll Do Be the trusted advisor to new and existing clients, leading seamless onboarding and building long-term partnerships. Design high-impact Google Ads strategies tailored to each client’s business goals—search, display, video, and app campaigns included. Continuously optimize campaign performance and ROI using smart insights from GA4, Google Ads, and other measurement tools. Solve problems fast—whether it's technical troubleshooting or strategic fine-tuning, you'll keep campaigns on track. Communicate campaign progress and insights clearly, becoming the go-to person for all client questions and guidance. Ensure Google Ads products and services are delivered smoothly, meeting and exceeding client expectations. Spot opportunities to grow accounts by recommending new Google Ads solutions aligned with client needs. Partner closely with internal teams—sales, tech, support—to deliver a seamless client experience and improve service delivery. Stay sharp on the latest Google Ads features, MENA market trends, and competitive moves to keep your advice fresh and forward-thinking. What You Need For This Role Solid hands-on experience with Google Ads, managing campaigns across search, display, video, and app formats. Strong digital marketing fundamentals with a passion for performance marketing and online strategy. Proficiency in Google Analytics 4 and tools like Google Tag Manager for smart campaign analysis. Excellent communication skills in English. A track record in client-facing roles, where you’ve built trusted relationships and made a real impact. Superb organization skills—you can manage multiple clients and projects without breaking a sweat. Collaborative spirit with the ability to work independently when needed. Familiarity with CRM platforms like Salesforce is a bonus. A deep understanding of the MENA digital advertising landscape. Experience working with media agencies or large brands in e-commerce or performance-driven environments. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Munich, Germany; Berlin, Germany About our client: Our client is a leading consulting firm specializing in digital strategy and transaction advisory. Known for its innovative approach and collaborative culture, the company works closely with top-tier private equity firms and businesses across various industries. With offices in Munich, Berlin, Hamburg, and London, our client is dedicated to driving digital transformation and delivering high-impact solutions that shape the future of the digital landscape. What is looked for: Having a passion for digital business models and are ready to inspire your team, C-Levels and Private Equity Value Creation teams for opportunities and growth possibilities on digital platforms and in D2C. Taking responsibility for the development, coordination and management of the marketplace strategy and presence of their international clients, taking into account the overall e-commerce strategy. Being responsible for the e-commerce performance of the marketplaces and KPI monitoring and reporting. Together with their experts, you design and implement paid strategies on Amazon Ads and other platforms with a focus on high marketing efficiency and visibility. Supporting the management of their clients' Seller/Vendor Central accounts to ensure good account stability. Preparing and lead activities such as workshops, meetings, research, stakeholder engagement for both client and internal projects. Further developing their Marketplace Offering through proactive and innovative business development and sales strategies. Requirements Having a university degree with excellent grades in business, marketing, computer science or a related field (Master's or MBA is an advantage). having ~5-7 years of relevant professional experience with a focus on e-commerce, (digital) marketplaces with a focus on Amazon and digital marketing - additional qualifications are an advantage. May have already sold products on Amazon yourself and built business models on Amazon. Demonstrating strong analytical skills and a high affinity for technology, combined with a creative mind. Having excellent knowledge of Amazon Seller/Vendor Central and Amazon Ads. Having excellent verbal and written communication skills Being a service-oriented and communicative team player with a passion for your work. Being fluent in English and German. Benefits Impactful Collaboration : Actively shaping the digital future in a highly motivated & smart team in direct cooperation with the founders & their partners, creating real added value by linking strategy and implementation. Dynamic & Challenging Work Environment: Working in a challenging environment between financial investors, decision-makers and operational teams and can set new standards with your knowledge. Rewarding Career Growth & Opportunities: Benefiting from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, they promote their top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Development-focused Philosophy: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career as a digital leader! Collaborative Workplace: Being immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of their offices in Munich, Berlin, Hamburg and London. View into the future: Working at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Supportive of Well-being: Enjoying regular team events and joint sports sessions, taking advantage of a company pension scheme, an exclusive Wellpass membership as well as mobility and meal allowances and a wide range of other company benefits.

Location: Germany About the Company: Our client is the European leader in clearance sales, with an annual turnover of €1 billion. Their mission is to provide top-quality overstock products across various categories, partnering with major retailers such as Lidl, Aldi, and Carrefour. Role Overview: They are looking for an experienced Senior Buyer with deep knowledge of the German market and expertise in overstock purchasing. The ideal candidate will have a strong network of suppliers and experience in categories such as beverages, food, and clothing. This is a freelance, fully remote role, reporting to the Commercial Director in Romania. Key Responsibilities: ・Identify and negotiate overstock purchasing opportunities across multiple categories. ・Maintain and expand a network of 80-100+ active suppliers in Germany. ・Develop relationships with key retail partners such as Lidl, Aldi, and Carrefour. ・Analyze market trends to optimize purchasing decisions. ・Manage the full procurement cycle, ensuring quality and competitive pricing. Requirements ・5-6 years of experience in a Category Manager/Buyer role. ・Strong knowledge of the German overstock market. ・Established supplier network (80-100 active contacts). ・Fluent in Native German & English. ・Highly independent, self-driven professional. Benefits Contract & Compensation: ・Freelance contract (service agreement) with monthly invoicing + bonus. ・Fully remote position, based in Germany.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £370,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dominican Republic Job Title: Business Executive Assistant - Investor Relations (Remote) Position Type: Part-Time Location: Remote 100% Our Client is a dynamic organization specializing in real estate investments. They are committed to fostering strong relationships with their investors and stakeholders, ensuring transparent communication and efficient processes. They are seeking a motivated Investor Relations Assistant to support their fundraising efforts and maintain robust investor relations. Key Responsibilities: Initial Outreach: Conduct preliminary outreach to potential investment leads to support fundraising initiatives. This includes light research and note-taking on prospective investors.​ Scheduling and Follow-ups: Manage appointment scheduling, coordinate follow-ups, and organize investment materials to ensure timely and effective communication with investors.​ Investor Communication: Engage in initial phone calls with investors to prequalify leads and develop ongoing relationships with the investor base. Clear and strong communication skills are essential.​ Administrative Support: Provide executive assistant support, including organizing and maintaining investor information and electronic files.​ Requirements Qualifications: Experience: Minimum of 3 years of relevant work experience, preferably in real estate, wealth management, finance, or high-end sales.​ Communication Skills: Exceptional verbal and written communication skills with minimal accent, enabling effective interaction with a diverse investor base.​ Organizational Skills: Strong organizational and project management abilities, with attention to detail and the capacity to prioritize tasks effectively.​ Technical Proficiency: Familiarity with CRM systems, Microsoft Office Suite, and other relevant software tools.​ Education: Bachelor’s degree in Business Administration, Finance, Real Estate, or a related field is preferred. Benefits Benefits: Competitive compensation based on experience and skills. Flexible working hours and remote work environment. Access to a network of top-tier clients. Professional development and training opportunities. How to Apply: If you meet the above qualifications and are interested in joining our network of top remote assistants, please submit your application, including your resume and a cover letter detailing your relevant experience and why you would be a great fit for Uptalent.io.

Location: El Salvador Job Title: Business Executive Assistant - Investor Relations (Remote) Position Type: Part-Time Location: Remote 100% Our Client is a dynamic organization specializing in real estate investments. They are committed to fostering strong relationships with their investors and stakeholders, ensuring transparent communication and efficient processes. They are seeking a motivated Investor Relations Assistant to support their fundraising efforts and maintain robust investor relations. Key Responsibilities: Initial Outreach: Conduct preliminary outreach to potential investment leads to support fundraising initiatives. This includes light research and note-taking on prospective investors.​ Scheduling and Follow-ups: Manage appointment scheduling, coordinate follow-ups, and organize investment materials to ensure timely and effective communication with investors.​ Investor Communication: Engage in initial phone calls with investors to prequalify leads and develop ongoing relationships with the investor base. Clear and strong communication skills are essential.​ Administrative Support: Provide executive assistant support, including organizing and maintaining investor information and electronic files.​ Requirements Qualifications: Experience: Minimum of 3 years of relevant work experience, preferably in real estate, wealth management, finance, or high-end sales.​ Communication Skills: Exceptional verbal and written communication skills with minimal accent, enabling effective interaction with a diverse investor base.​ Organizational Skills: Strong organizational and project management abilities, with attention to detail and the capacity to prioritize tasks effectively.​ Technical Proficiency: Familiarity with CRM systems, Microsoft Office Suite, and other relevant software tools.​ Education: Bachelor’s degree in Business Administration, Finance, Real Estate, or a related field is preferred. Benefits Benefits: Competitive compensation based on experience and skills. Flexible working hours and remote work environment. Access to a network of top-tier clients. Professional development and training opportunities. How to Apply: If you meet the above qualifications and are interested in joining our network of top remote assistants, please submit your application, including your resume and a cover letter detailing your relevant experience and why you would be a great fit for Uptalent.io.

Location: Mexico Job Title: Business Executive Assistant - Investor Relations (Remote) Position Type: Part-Time Location: Remote 100% Our Client is a dynamic organization specializing in real estate investments. They are committed to fostering strong relationships with their investors and stakeholders, ensuring transparent communication and efficient processes. They are seeking a motivated Investor Relations Assistant to support their fundraising efforts and maintain robust investor relations. Key Responsibilities: Initial Outreach: Conduct preliminary outreach to potential investment leads to support fundraising initiatives. This includes light research and note-taking on prospective investors.​ Scheduling and Follow-ups: Manage appointment scheduling, coordinate follow-ups, and organize investment materials to ensure timely and effective communication with investors.​ Investor Communication: Engage in initial phone calls with investors to prequalify leads and develop ongoing relationships with the investor base. Clear and strong communication skills are essential.​ Administrative Support: Provide executive assistant support, including organizing and maintaining investor information and electronic files.​ Requirements Qualifications: Experience: Minimum of 3 years of relevant work experience, preferably in real estate, wealth management, finance, or high-end sales.​ Communication Skills: Exceptional verbal and written communication skills with minimal accent, enabling effective interaction with a diverse investor base.​ Organizational Skills: Strong organizational and project management abilities, with attention to detail and the capacity to prioritize tasks effectively.​ Technical Proficiency: Familiarity with CRM systems, Microsoft Office Suite, and other relevant software tools.​ Education: Bachelor’s degree in Business Administration, Finance, Real Estate, or a related field is preferred. Benefits Benefits: Competitive compensation based on experience and skills. Flexible working hours and remote work environment. Access to a network of top-tier clients. Professional development and training opportunities. How to Apply: If you meet the above qualifications and are interested in joining our network of top remote assistants, please submit your application, including your resume and a cover letter detailing your relevant experience and why you would be a great fit for Uptalent.io.

Location: Colombia Job Title: Business Executive Assistant - Investor Relations (Remote) Position Type: Part-Time Location: Remote 100% Our Client is a dynamic organization specializing in real estate investments. They are committed to fostering strong relationships with their investors and stakeholders, ensuring transparent communication and efficient processes. They are seeking a motivated Investor Relations Assistant to support their fundraising efforts and maintain robust investor relations. Key Responsibilities: Initial Outreach: Conduct preliminary outreach to potential investment leads to support fundraising initiatives. This includes light research and note-taking on prospective investors.​ Scheduling and Follow-ups: Manage appointment scheduling, coordinate follow-ups, and organize investment materials to ensure timely and effective communication with investors.​ Investor Communication: Engage in initial phone calls with investors to prequalify leads and develop ongoing relationships with the investor base. Clear and strong communication skills are essential.​ Administrative Support: Provide executive assistant support, including organizing and maintaining investor information and electronic files.​ Requirements Qualifications: Experience: Minimum of 3 years of relevant work experience, preferably in real estate, wealth management, finance, or high-end sales.​ Communication Skills: Exceptional verbal and written communication skills with minimal accent, enabling effective interaction with a diverse investor base.​ Organizational Skills: Strong organizational and project management abilities, with attention to detail and the capacity to prioritize tasks effectively.​ Technical Proficiency: Familiarity with CRM systems, Microsoft Office Suite, and other relevant software tools.​ Education: Bachelor’s degree in Business Administration, Finance, Real Estate, or a related field is preferred. Benefits Benefits: Competitive compensation based on experience and skills. Flexible working hours and remote work environment. Access to a network of top-tier clients. Professional development and training opportunities. How to Apply: If you meet the above qualifications and are interested in joining our network of top remote assistants, please submit your application, including your resume and a cover letter detailing your relevant experience and why you would be a great fit for Uptalent.io.

Location: Philippines Job Title: Business Executive Assistant - Investor Relations (Remote) Position Type: Part-Time Location: Remote 100% Our Client is a dynamic organization specializing in real estate investments. They are committed to fostering strong relationships with their investors and stakeholders, ensuring transparent communication and efficient processes. They are seeking a motivated Investor Relations Assistant to support their fundraising efforts and maintain robust investor relations. Key Responsibilities: Initial Outreach: Conduct preliminary outreach to potential investment leads to support fundraising initiatives. This includes light research and note-taking on prospective investors.​ Scheduling and Follow-ups: Manage appointment scheduling, coordinate follow-ups, and organize investment materials to ensure timely and effective communication with investors.​ Investor Communication: Engage in initial phone calls with investors to prequalify leads and develop ongoing relationships with the investor base. Clear and strong communication skills are essential.​ Administrative Support: Provide executive assistant support, including organizing and maintaining investor information and electronic files.​ Requirements Qualifications: Experience: Minimum of 3 years of relevant work experience, preferably in real estate, wealth management, finance, or high-end sales.​ Communication Skills: Exceptional verbal and written communication skills with minimal accent, enabling effective interaction with a diverse investor base.​ Organizational Skills: Strong organizational and project management abilities, with attention to detail and the capacity to prioritize tasks effectively.​ Technical Proficiency: Familiarity with CRM systems, Microsoft Office Suite, and other relevant software tools.​ Education: Bachelor’s degree in Business Administration, Finance, Real Estate, or a related field is preferred. Benefits Benefits: Competitive compensation based on experience and skills. Flexible working hours and remote work environment. Access to a network of top-tier clients. Professional development and training opportunities. How to Apply: If you meet the above qualifications and are interested in joining our network of top remote assistants, please submit your application, including your resume and a cover letter detailing your relevant experience and why you would be a great fit for Uptalent.io.

Location: Argentina Job Title: Business Executive Assistant - Investor Relations (Remote) Position Type: Part-Time Location: Remote 100% Our Client is a dynamic organization specializing in real estate investments. They are committed to fostering strong relationships with their investors and stakeholders, ensuring transparent communication and efficient processes. They are seeking a motivated Investor Relations Assistant to support their fundraising efforts and maintain robust investor relations. Key Responsibilities: Initial Outreach: Conduct preliminary outreach to potential investment leads to support fundraising initiatives. This includes light research and note-taking on prospective investors.​ Scheduling and Follow-ups: Manage appointment scheduling, coordinate follow-ups, and organize investment materials to ensure timely and effective communication with investors.​ Investor Communication: Engage in initial phone calls with investors to prequalify leads and develop ongoing relationships with the investor base. Clear and strong communication skills are essential.​ Administrative Support: Provide executive assistant support, including organizing and maintaining investor information and electronic files.​ Requirements Qualifications: Experience: Minimum of 3 years of relevant work experience, preferably in real estate, wealth management, finance, or high-end sales.​ Communication Skills: Exceptional verbal and written communication skills with minimal accent, enabling effective interaction with a diverse investor base.​ Organizational Skills: Strong organizational and project management abilities, with attention to detail and the capacity to prioritize tasks effectively.​ Technical Proficiency: Familiarity with CRM systems, Microsoft Office Suite, and other relevant software tools.​ Education: Bachelor’s degree in Business Administration, Finance, Real Estate, or a related field is preferred. Benefits Benefits: Competitive compensation based on experience and skills. Flexible working hours and remote work environment. Access to a network of top-tier clients. Professional development and training opportunities. How to Apply: If you meet the above qualifications and are interested in joining our network of top remote assistants, please submit your application, including your resume and a cover letter detailing your relevant experience and why you would be a great fit for Uptalent.io.